High-intent case acquisition at predictive scale.
Personal injury, mass tort, family law, immigration, and corporate firms use predictive intelligence to identify high-intent prospects within the active decision window. Combined with identity-graph resolution, the result is a dramatic improvement in qualified case acquisition.
What makes Legal different.
Incident-window intent
Behavioral signals correlated with active legal-need consideration, scoped to the relevant practice-area window.
Mass-tort cohort scoring
Predictive identification of qualifying class membership for mass-tort campaigns.
Decay, velocity, and cost — measured.
Per-vertical curves derived from the platform's calibrated model output. Industry averages overlaid for reference.
Hours since first intent signal
Days from first contact
Traditional vs. predictive within the vertical
Inside a deployment
Mid-market lender lifts ROAS 3.1x with behavioral risk + intent overlay
Behavioral risk scoring integrated with intent signals produced cleaner top-of-funnel for a consumer lender. The combined model reduced underwriting waste 38% and lifted return on ad spend 3.1x within two quarters.
Supporting research & guides
personal injury lead targeting
mass tort cohort identification
family law intent signals
immigration firm marketing
Common questions
Is this TCPA-compliant?+
Yes. Records carry verifiable consent provenance and TCPA-compliant calling/messaging workflows are supported.
Predictive intelligence · enterprise onboarding
Move from list-buying to probability-buying.
Engage your account team for a calibrated intelligence estimate, methodology walkthrough, and a sandbox environment scored against your own audience.